IIT Indore JRF AgriHub Recruitment 2026

IIT Indore Junior Research Fellow Recruitment 2026: Overview

Indian Institute of Technology Indore (IIT Indore) is hiring a Junior Research Fellow for an AgriHub-funded project in Mechanical Engineering. Based at the institute in Simrol, the project focuses on monitoring the conditions inside post-harvest storage and using that information to model produce quality. This is a project appointment connected to sensor hardware, data handling and predictive tools.

The project brings these parts together through an integrated sensor-based data logger. Its focus is the storage microclimate: the conditions around produce after harvesting, rather than a general-purpose engineering study. You would join research that connects a physical monitoring device with a platform for predicting quality.

AgriHub, IIT Indore is named as the funding agency, and the institute's Mechanical Engineering department hosts the work. The project links device development with modelling, so the research setting spans both hardware and analysis. The official project description covers the monitoring system and the predictive platform as parts of the same assignment.

Service Conditions and Caveats

• Initial appointment: The engagement starts with a one-year term. An extension depends on institute and funding-agency guidelines.
• Possible PhD route: If selected, you may be considered for admission as a regular full-time PhD scholar at IIT Indore. This remains subject to institute norms, so the research appointment does not itself guarantee admission.
• Interview communication: Only shortlisted applicants will receive an email about the interview. Keep the email address in your CV active so you can receive that message.
• Travel support: The institute will not pay travel or daily allowance for attending the interview. You need to account for your own attendance costs if called.
• Completeness: Incomplete applications will be rejected. The notice makes the Google Form the exclusive submission route for this project.

• Develop sensor hardware for the post-harvest monitoring project
• Collect data from the monitoring system
• Implement edge analytics for collected data
• Build models for predicting quality during storage
• Develop the project's predictive platform